Identification of Additive Multivariable Continuous-Time Systems Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1109/lcsys.2025.3575179
Multivariable parametric models are critical for designing, controlling, and optimizing the performance of engineered systems. The main aim of this letter is to develop a parametric identification strategy that delivers accurate and physically relevant models of multivariable systems using time-domain data. The introduced approach adopts an additive model structure, providing a parsimonious and interpretable representation of many physical systems, and applies a refined instrumental variable-based estimation algorithm. The developed identification method enables the estimation of multivariable parametric additive models in continuous time and is applicable to both open- and closed-loop systems. The performance of the estimator is demonstrated through numerical simulations and experimentally validated on a flexible beam system.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/lcsys.2025.3575179
- OA Status
- green
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410887175